| Close | |
|---|---|
| Annualized Return | -0.0030 |
| Annualized Std Dev | 0.1492 |
| Annualized Sharpe (Rf=0%) | -0.0199 |
| Close | |
|---|---|
| Observations | 5587.0000 |
| NAs | 1.0000 |
| Minimum | -0.1207 |
| Quartile 1 | -0.0035 |
| Median | 0.0000 |
| Arithmetic Mean | 0.0000 |
| Geometric Mean | 0.0000 |
| Quartile 3 | 0.0038 |
| Maximum | 0.2096 |
| SE Mean | 0.0001 |
| LCL Mean (0.95) | -0.0002 |
| UCL Mean (0.95) | 0.0003 |
| Variance | 0.0001 |
| Stdev | 0.0094 |
| Skewness | 0.9855 |
| Kurtosis | 66.5844 |
| Close | |
|---|---|
| Semi Deviation | 0.0067 |
| Gain Deviation | 0.0076 |
| Loss Deviation | 0.0079 |
| Downside Deviation (MAR=210%) | 0.0117 |
| Downside Deviation (Rf=0%) | 0.0067 |
| Downside Deviation (0%) | 0.0067 |
| Maximum Drawdown | 0.5264 |
| Historical VaR (95%) | -0.0121 |
| Historical ES (95%) | -0.0217 |
| Modified VaR (95%) | NA |
| Modified ES (95%) | NA |
| From | Trough | To | Depth | Length | To Trough | Recovery |
|---|---|---|---|---|---|---|
| 2005-09-12 | 2008-12-16 | 2012-01-23 | -0.5264 | 1603 | 823 | 780 |
| 2012-11-30 | 2020-03-23 | NA | -0.3946 | 2090 | 1839 | NA |
| 1999-01-14 | 2000-11-08 | 2005-07-08 | -0.3456 | 1629 | 461 | 1168 |
| 2012-03-13 | 2012-03-16 | 2012-05-01 | -0.0853 | 35 | 4 | 31 |
| 2012-02-01 | 2012-02-16 | 2012-03-08 | -0.0546 | 26 | 12 | 14 |
| Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Close | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1999 | -0.7 | 0.4 | 1.6 | 0 | 0 | 0.4 | 1.8 | 0.5 | -0.5 | 1.5 | 2.1 | 2 | 9.3 |
| 2000 | 1 | 0.5 | 1.5 | -0.5 | 0.5 | 0.9 | -0.9 | -0.5 | 0 | 0 | 0 | 0.5 | 3.1 |
| 2001 | -0.3 | 1 | 0.2 | -0.3 | 0.2 | 0.2 | 0.9 | 0.3 | 0.1 | 0.6 | 0.2 | 3 | 6.2 |
| 2002 | 0.2 | -1 | 0.1 | 0.4 | 0.2 | 0.1 | -0.1 | 0.4 | -0.5 | 0.4 | 0.7 | 0.8 | 1.8 |
| 2003 | -0.1 | 0.4 | -0.1 | -0.4 | -0.2 | 0.6 | 0.4 | 0.7 | 0.6 | 0.3 | -0.5 | 0.3 | 1.9 |
| 2004 | -0.1 | 0 | 0.4 | 0.5 | -0.1 | 1.7 | 0.4 | 1 | 0.3 | -0.2 | -0.9 | -0.1 | 2.8 |
| 2005 | 0.1 | 0.2 | 0.9 | 0.2 | 0.3 | 0.2 | 0.1 | -0.1 | 0.5 | 0.2 | -0.1 | -0.3 | 2.3 |
| 2006 | -0.7 | 0.2 | -0.4 | -0.1 | 0.1 | 1.1 | 0.2 | 0.3 | -0.1 | 0.5 | 0.6 | 0.3 | 2.1 |
| 2007 | 0.1 | 0.2 | -0.1 | 0.1 | -0.1 | 0.2 | 0.1 | 0 | -0.1 | -1.4 | 0.8 | 0.1 | -0.1 |
| 2008 | 0.2 | -2 | 0.6 | 0.1 | 0.6 | 0.8 | -0.3 | 0.2 | 1.5 | -2.1 | -1.3 | 1.1 | -0.6 |
| 2009 | -0.8 | 0.3 | 0.5 | 0.8 | -0.1 | 0.2 | 0.1 | 0.6 | -0.3 | -0.1 | 0.3 | 0.4 | 1.9 |
| 2010 | 0 | 0 | 0.5 | -0.2 | -0.1 | 0.4 | 0.2 | 0.4 | 0.4 | -0.1 | -2.4 | 1.2 | 0.2 |
| 2011 | 0.7 | -0.3 | 0.3 | -0.1 | -0.1 | 0.8 | 2 | 0.8 | 0.6 | 0.2 | -0.1 | 0 | 5.1 |
| 2012 | -1.7 | 0.4 | 0.4 | 1.7 | -0.6 | -0.1 | 1 | -0.2 | 1 | 0.3 | -0.4 | 0.7 | 2.4 |
| 2013 | -0.5 | 0.5 | -0.3 | -0.2 | -2.4 | 1.2 | -1.3 | -0.7 | 0.1 | -1.4 | 0.1 | -0.1 | -5 |
| 2014 | 0.1 | 0.3 | -0.1 | 0.9 | -0.3 | -0.4 | 0.4 | 0.2 | 0.6 | -0.6 | 0.3 | 0.5 | 1.9 |
| 2015 | 0.1 | 0.2 | 0.3 | -0.5 | -0.2 | 0.4 | 0.4 | 0.6 | 0.2 | -0.4 | 0.4 | 0.6 | 2.3 |
| 2016 | 0.6 | 0.6 | 0.1 | 0.5 | 1.3 | 1.1 | -0.5 | -0.4 | 0.3 | 1 | -0.6 | -0.1 | 4.1 |
| 2017 | 0 | -0.2 | 0.4 | 0.3 | 1 | 1.8 | 0 | 0 | -0.3 | 0.2 | 0.4 | 0.4 | 4.1 |
| 2018 | 0 | -0.2 | 0.5 | 0 | -0.3 | 0.5 | 0 | 0.3 | -0.1 | -0.6 | 1.9 | 0.5 | 2.4 |
| 2019 | 0.4 | 0 | 0.6 | 0.3 | 1.3 | 3.4 | -0.1 | -0.1 | 0.5 | 0.2 | 2.6 | 0.4 | 9.9 |
| 2020 | 0.1 | -3 | -3.7 | 0.1 | 0.5 | 0 | 0.2 | 0.2 | 0.7 | 0.1 | -0.3 | 0.7 | -4.3 |
| 2021 | 0.2 | -0.4 | -0.4 | NA | NA | NA | NA | NA | NA | NA | NA | NA | -0.5 |
# tidytable [6 × 21]
datadate Close tic.x spy ret.x ret_1W.x ret_1M.x ret_3M.x ret_1Y.x ret_3Y.x ret_5Y.x tic.y gld ret.y ret_1W.y
<date> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <dbl> <dbl>
1 1999-01-04 16.8 SPY 123. NA NA NA NA NA NA NA <NA> NA NA NA
2 1999-01-05 16.7 SPY 124. 0.0114 NA NA NA NA NA NA <NA> NA NA NA
3 1999-01-06 16.8 SPY 127. 0.0241 NA NA NA NA NA NA <NA> NA NA NA
4 1999-01-07 16.6 SPY 127. -0.0049 NA NA NA NA NA NA <NA> NA NA NA
5 1999-01-08 16.7 SPY 128. 0.0074 NA NA NA NA NA NA <NA> NA NA NA
6 1999-01-11 16.5 SPY 127. -0.0095 0.0284 NA NA NA NA NA <NA> NA NA NA
# … with 6 more variables: ret_1M.y <dbl>, ret_3M.y <dbl>, ret_1Y.y <dbl>, ret_3Y.y <dbl>, ret_5Y.y <dbl>, rel <dbl>